Evidence map›Paper›PMID 40751607›Full record

ArticleSociology of health & illness2025

Inequality, Trust and Fear: Migrant Healthcare During the COVID-19 Pandemic and Beyond.

Alexis Hawthorne, Alicja Bobek, Lina Sandström

Abstract read
In one paragraph

Article in Sociology of health & illness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alexis HawthorneCentre for Diversity, Policy, Research and Practice, Oxford Brookes University, Oxford, UK.ORCID 0009-0005-3490-0001
Alicja BobekAIB Research Centre on Inclusive and Equitable Cultures (RINCE), Technological University Dublin, Dublin, Ireland.
Lina SandströmSchool of Humanities, Örebro University, Örebro, Sweden.

Funding

European Union Horizon2020 101015990
6 · The paper itself

Abstract

Many migrants are considered to be disadvantaged regarding their social, economic and health outcomes. During the COVID-19 pandemic these inequalities grew starker, especially in healthcare, as migrants were at increased risk of exposure and had a reduced ability to seek care or access support. This paper will explore these issues through the analysis of narrative interviews gathered during a large-scale, cross-European project which explored the experiences of 740 marginalised individuals, including migrants, during the COVID-19 pandemic. We build upon Beck's concept of the 'risk society' by exploring the ways in which neoliberal states have created exposure to risk; however, we also adopt a critical approach in examining how risk is not distributed equally. The following themes were revealed: first, migrants were often more exposed to the virus due to their occupational status. Second, migration status had an impact on access to healthcare, with undocumented migrants especially vulnerable. Third, the intersection between health crises and trust was identified: on the one hand, migrants lack of trust in host country institutions affected their engagement with services; on the other, they also experienced a lack of trust in them, as they were often perceived as a 'risk' in relation to the virus.

Indexed as

COVID-19FearHealthcare DisparitiesHealth Services AccessibilityTransients and MigrantsTrustAdultEuropeFemaleHumansInterviews as TopicMaleMiddle AgedPandemicsQualitative ResearchSARS-CoV-2COVID‐19discriminationEuropehealthinequalitymigrantpandemictrust

Identifiers

PMID40751607
PMCPMC12317667

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.